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High spatiotemporal resolution of Rainfall in Ecuador
Dataset ID: 448
Last updated: 2021-10-06
Ersteller: Nazli Turini
Boris Thies
Jörg Bendix
Kontakt: Nazli Turini
Zeitliche Abdeckung: 2017-04-19 00:00:00 - 2018-04-19 00:00:00
Geographische Verortung: Ecuador
Abstract: A new satellite-based algorithm for rainfall retri...
Zusätzliche Informationen: ---
Keywords: | rainfall | Geostationary satellites | multispectrl satellite data |
Urheberrecht: Laboratory for climatology and Remote sensing
1. Entity:
Entity name: High spatiotemporal resolution of Rainfall in Ecuador
Entity type:otherEntity

Climate station data from the Ghisonaccia LCRS station in Corsica 2017 - 2019
Dataset ID: 438
Last updated: 2021-08-24
Ersteller: Isabel Knerr
Kontakt: Maik Dobbermann
Isabel Knerr
Zeitliche Abdeckung: 2017-05-01 00:00:00 - 2019-11-17 00:00:00
Geographische Verortung: Ghisonaccia climate station LCRS
Abstract: ---
Zusätzliche Informationen: Metek U-Sonic-3 station with additional Campbell s...
Keywords: | climate | climate station | corsica |
DOI: 10.5678/lcrs/for816.dat.438
Urheberrecht: LCRS
1. Entity:
Entity name: ghisonaccia.csv
Entity type:dataTable
Attribute:
Date and Time (datetime) (keine Einheit)
Battery voltage (BattV) [Volt]
Wind vector x in m/s (windvector_x) [Meter per second]
Wind vector y in m/s (windvector_y) [Meter per second]
Wind vector z in m/s (windvector_z) [Meter per second]
Air temperature (Ta) [Degrees Celsius]
Standard deviation of wind vector x in m/s (windvector_x_sig) [Meter per second]
Standard deviation of wind vector y in m/s (windvector_y_sig) [Meter per second]
Standard deviation of wind vector z in m/s (windvector_z_sig) [Meter per second]
Standard deviation of the temperature (Ta_sig) [Degrees Celsius]
Covariance of X and Y wind vectors (windvector_xy_cov) [Square meter per square second]
Covariance of X and Z wind vectors (windvector_xz_cov) [Square meter per square second]
Covariance of X and T (windvector_xta_cov) [Millikelvin per second]
Covariance of Y and Z wind vectors (windvector_yz_cov) [Square meter per square second]
Covariance of Y and T (windvector_yta_cov) [Millikelvin per second]
Covariance of Z and T (windvector_zta_cov) [Millikelvin per second]
Standard deviation of the wind component parallel to the mean wind direction (psig) [Meter per second]
Standard deviation of the wind component horizontal perpendicular to the mean wind direction (qsig) [Meter per second]
Standard deviation of the wind component vertical perpendicular to the mean wind direction (rsig) [Meter per second]
Longitudinal turbulence intensity (tp) [Unitless]
Transversal turbulence intensity (tq) [Unitless]
Vertical turbulence intensity (tr) [Unitless]
Maximum wind gust in the averaging interval (mgust) [Meter per second]
Standard deviation of horizontal wind direction (thsig) [Degree]
Standard deviation of vertical wind direction (phsig) [Degree]
Diffusion class according to KTA-1508 guidelines (DiffC) (keine Einheit)
Shear stress velocity (ustar) [Meter per second]
Characteristic temperature (tstar) [Degree Kelvin]
Ground friction coefficient (cd) [Unitless]
Monin-Obukhov stability parameter (mos) [One per meter]
Vertical pulse current (mf) [Kilogram per meter second]
Vertical heat flow (hf) [Watt per square meter]
Net radiation balance (nrb) [Watt per square meter]
Mean wind component in east-west direction (u) [Meter per second]
Mean wind component in north-south direction (v) [Meter per second]
Mean vertical wind component (w) [Meter per second]
Wind speed (vel) [Meter per second]
Wind direction (dir) [Degree]
Mean horizontal wind speed scalar averaged (svel) [Meter per second]
Mean horizontal wind direction, scalar averaged to geographic north (sdir) [Degree]
air temperature in 2m (Ta_2m) [Degrees Celsius]
Air humidity 2m (Huma_2m) [Percent]
Volumetric water content (Vwc) [Count]
Electric conductivity (EC) [Square meter per square meter]
Soil temperature (Ts) [Degrees Celsius]
Global radiation (2m) (gRad1) [Watt per square meter]
precipitation (PCP) [Millimeter]

Climate station data from the Ajaccio LCRS station in Corsica 2017 - 2019
Dataset ID: 437
Last updated: 2021-08-24
Ersteller: Isabel Knerr
Kontakt: Maik Dobbermann
Isabel Knerr
Zeitliche Abdeckung: 2017-05-01 00:00:00 - 2019-11-17 00:00:00
Geographische Verortung: Ajaccio climate station LCRS
Abstract: ---
Zusätzliche Informationen: Metek U-Sonic-3 station with additional Campbell s...
Keywords: | climate | climate station | corsica |
DOI: 10.5678/lcrs/for816.dat.437
Urheberrecht: LCRS
1. Entity:
Entity name: ajaccio.csv_out
Entity type:dataTable
Attribute:
Battery voltage (BattV) [Volt]
Wind vector x in m/s (windvector_x) [Meter per second]
Wind vector y in m/s (windvector_y) [Meter per second]
Wind vector z in m/s (windvector_z) [Meter per second]
Air temperature (Ta) [Degrees Celsius]
Standard deviation of wind vector x in m/s (windvector_x_sig) [Meter per second]
Standard deviation of wind vector y in m/s (windvector_y_sig) [Meter per second]
Standard deviation of wind vector z in m/s (windvector_z_sig) [Meter per second]
Standard deviation of the temperature (Ta_sig) [Degrees Celsius]
Covariance of X and Y wind vectors (windvector_xy_cov) [Square meter per square second]
Covariance of X and Z wind vectors (windvector_xz_cov) [Square meter per square second]
Covariance of X and T (windvector_xta_cov) [Millikelvin per second]
Covariance of Y and Z wind vectors (windvector_yz_cov) [Square meter per square second]
Covariance of Y and T (windvector_yta_cov) [Millikelvin per second]
Covariance of Z and T (windvector_zta_cov) [Millikelvin per second]
Standard deviation of the wind component parallel to the mean wind direction (psig) [Meter per second]
Standard deviation of the wind component horizontal perpendicular to the mean wind direction (qsig) [Meter per second]
Standard deviation of the wind component vertical perpendicular to the mean wind direction (rsig) [Meter per second]
Longitudinal turbulence intensity (tp) [Unitless]
Transversal turbulence intensity (tq) [Unitless]
Vertical turbulence intensity (tr) [Unitless]
Maximum wind gust in the averaging interval (mgust) [Meter per second]
Standard deviation of horizontal wind direction (thsig) [Degree]
Standard deviation of vertical wind direction (phsig) [Degree]
Diffusion class according to KTA-1508 guidelines (DiffC) (keine Einheit)
Shear stress velocity (ustar) [Meter per second]
Characteristic temperature (tstar) [Degree Kelvin]
Ground friction coefficient (cd) [Unitless]
Monin-Obukhov stability parameter (mos) [One per meter]
Vertical pulse current (mf) [Kilogram per meter second]
Vertical heat flow (hf) [Watt per square meter]
Net radiation balance (nrb) [Watt per square meter]
Mean wind component in east-west direction (u) [Meter per second]
Mean wind component in north-south direction (v) [Meter per second]
Mean vertical wind component (w) [Meter per second]
Wind speed (vel) [Meter per second]
Wind direction (dir) [Degree]
Mean horizontal wind speed scalar averaged (svel) [Meter per second]
Mean horizontal wind direction, scalar averaged to geographic north (sdir) [Degree]
air temperature in 2m (Ta_2m) [Degrees Celsius]
Air humidity 2m (Huma_2m) [Percent]
Volumetric water content (Vwc) [Count]
Electric conductivity (EC) [Square meter per square meter]
Soil temperature (Ts) [Degrees Celsius]
Global radiation (2m) (gRad1) [Watt per square meter]
precipitation (PCP) [Millimeter]
Date and Time (datetime) (keine Einheit)

Predicted density and depth of holes created by burrowing animals across 8 hillsides along Chilean climate gradient
Dataset ID: 433
Last updated: 2021-07-14
Ersteller: Paulina Grigusova
Kontakt: Paulina Grigusova
Zeitliche Abdeckung: 2019-09-13 00:00:00 - 2019-11-13 00:00:00
Geographische Verortung: Chile
Abstract: Burrowing animals are important ecosystem engineer...
Zusätzliche Informationen: Coordinates: Pda north facing: -70.61875999999 ...
Keywords: | Burrowing animals |
DOI: 10.5678/lcrs/dat.433
Urheberrecht: Paulina Grigusova
1. Entity:
Entity name: prediction
Entity type:otherEntity

High spatiotemporal resolution of Rainfall in Iran
Dataset ID: 430
Last updated: 2021-06-03
Ersteller: Nazli Turini
Boris Thies
Jörg Bendix
Kontakt: Nazli Turini
Zeitliche Abdeckung: 2017-02-01 10:00:00 - 2018-02-02 00:00:00
Geographische Verortung: Iran
Abstract: A new satellite-based technique for rainfall retri...
Zusätzliche Informationen: ---
Keywords: | rainfall retrieval | rainfall | Rainfall rate | satellite-based rainfall detection scheme |
Urheberrecht: LCRS
1. Entity:
Entity name: iran_1_hist_hydromet_tp_20170201_20180201
Entity info: High Spatio-temporal resolution of rainfall in Iran
Entity type:otherEntity

MOB2 Parare outside Canopy
Dataset ID: 428
Last updated: 2021-06-18
Ersteller: Marius Pohl
Sebastian Achilles
Maik Dobbermann
Andre Obregon
Kontakt: Marius Pohl
Maik Dobbermann
Zeitliche Abdeckung: 2008-03-12 14:45:00 - 2008-06-21 23:55:00
Geographische Verortung: Parare_MOB2
Abstract: ---
Zusätzliche Informationen: ---
Keywords: | climate station |
Urheberrecht: LCRS
1. Entity:
Entity name: MOB2 Parare outside Canopy
Entity type:dataTable
Attribute:
Date and Time (datetime) (keine Einheit)
Average air temperature (AirTC_Avg) [Degrees Celsius]
Minumum air temperature (AirTC_Min) [Degrees Celsius]
Maximum air temperature (AirTC_Max) [Degrees Celsius]
Standard deviation of the air temperature (AirTC_Std) [Degrees Celsius]
relative humidity 2m (RH_Avg) [Percent]
Minimum air relative humidity (RH_Min) [Percent]
Maximum air relative humidity (RH_Max) [Percent]
Relative humidity standard deviation (RH_Std) [Percent]
Solar radiation average (SlrW_Avg) [Watt per square meter]

MOB2 Parare inside Canopy
Dataset ID: 427
Last updated: 2021-06-18
Ersteller: Marius Pohl
Sebastian Achilles
Maik Dobbermann
Andre Obregon
Kontakt: Marius Pohl
Maik Dobbermann
Zeitliche Abdeckung: 2008-03-12 14:45:00 - 2008-06-21 23:55:00
Geographische Verortung: Parare_MOB2
Abstract: ---
Zusätzliche Informationen: ---
Keywords: | climate station |
Urheberrecht: LCRS
1. Entity:
Entity name: MOB2 Parare inside Canopy
Entity type:dataTable
Attribute:
Date and Time (datetime) (keine Einheit)
Average air temperature (AirTC_Avg) [Degrees Celsius]
Minumum air temperature (AirTC_Min) [Degrees Celsius]
Maximum air temperature (AirTC_Max) [Degrees Celsius]
Standard deviation of the air temperature (AirTC_Std) [Degrees Celsius]
relative humidity 2m (RH_Avg) [Percent]
Minimum air relative humidity (RH_Min) [Percent]
Maximum air relative humidity (RH_Max) [Percent]
Relative humidity standard deviation (RH_Std) [Percent]
Solar radiation average (SlrW_Avg) [Watt per square meter]
Wind direction minimum (WindDir_Min) [Degree]
Wind direction maximum (WindDir_Max) [Degree]
Wind direction standard deviation (WindDir_Std) [Degree]
Average wind speed (WS_ms_Avg) [Meter per second]
Minimum wind speed (WS_ms_Min) [Meter per second]
wind gusts (max/5 min) (WS_ms_Max) [Meter per second]
Wind speed standard deviation (WS_ms_Std) [Meter per second]
X-Axis average Wind speed (Ux_Avg) [Meter per second]
Y-Axis average Wind speed (Uy_Avg) [Meter per second]
precipitation (PCP) [Millimeter]
Leaf wetness minimum (Leaf_kOhms_Min) [Kiloohm]
Leaf wetness maximum (Leaf_kOhms_Max) [Kiloohm]

MOB1 Parare outside Canopy
Dataset ID: 426
Last updated: 2021-06-18
Ersteller: Marius Pohl
Sebastian Achilles
Maik Dobbermann
Andre Obregon
Kontakt: Marius Pohl
Maik Dobbermann
Zeitliche Abdeckung: 2008-03-12 14:45:00 - 2008-06-21 23:55:00
Geographische Verortung: Parare_MOB1
Abstract: ---
Zusätzliche Informationen: ---
Keywords: | climate station |
Urheberrecht: LCRS
1. Entity:
Entity name: MOB1 Parare outside Canopy
Entity type:dataTable
Attribute:
Date and Time (datetime) (keine Einheit)
Average air temperature (AirTC_Avg) [Degrees Celsius]
Minumum air temperature (AirTC_Min) [Degrees Celsius]
Maximum air temperature (AirTC_Max) [Degrees Celsius]
Standard deviation of the air temperature (AirTC_Std) [Degrees Celsius]
relative humidity 2m (RH_Avg) [Percent]
Minimum air relative humidity (RH_Min) [Percent]
Maximum air relative humidity (RH_Max) [Percent]
Relative humidity standard deviation (RH_Std) [Percent]
Solar radiation average (SlrW_Avg) [Watt per square meter]
Wind direction minimum (WindDir_Min) [Degree]
Wind direction maximum (WindDir_Max) [Degree]
Wind direction standard deviation (WindDir_Std) [Degree]

MOB1 Parare inside Canopy
Dataset ID: 425
Last updated: 2021-06-18
Ersteller: Marius Pohl
Sebastian Achilles
Maik Dobbermann
Andre Obregon
Kontakt: Marius Pohl
Maik Dobbermann
Zeitliche Abdeckung: 2008-03-12 14:45:00 - 2008-06-21 23:55:00
Geographische Verortung: Parare_MOB1
Abstract: ---
Zusätzliche Informationen: ---
Keywords: | climate station |
Urheberrecht: LCRS
1. Entity:
Entity name: MOB1 Parare inside Canopy
Entity type:dataTable
Attribute:
Date and Time (datetime) (keine Einheit)
Average air temperature (AirTC_Avg) [Degrees Celsius]
Minumum air temperature (AirTC_Min) [Degrees Celsius]
Maximum air temperature (AirTC_Max) [Degrees Celsius]
Standard deviation of the air temperature (AirTC_Std) [Degrees Celsius]
relative humidity 2m (RH_Avg) [Percent]
Minimum air relative humidity (RH_Min) [Percent]
Maximum air relative humidity (RH_Max) [Percent]
Relative humidity standard deviation (RH_Std) [Percent]
Solar radiation average (SlrW_Avg) [Watt per square meter]
Wind direction minimum (WindDir_Min) [Degree]
Wind direction maximum (WindDir_Max) [Degree]
Wind direction standard deviation (WindDir_Std) [Degree]
Average wind speed (WS_ms_Avg) [Meter per second]
Minimum wind speed (WS_ms_Min) [Meter per second]
wind gusts (max/5 min) (WS_ms_Max) [Meter per second]
Wind speed standard deviation (WS_ms_Std) [Meter per second]
X-Axis average Wind speed (Ux_Avg) [Meter per second]
Y-Axis average Wind speed (Uy_Avg) [Meter per second]
precipitation (PCP) [Millimeter]
Leaf wetness minimum (Leaf_kOhms_Min) [Kiloohm]
Leaf wetness maximum (Leaf_kOhms_Max) [Kiloohm]

MOB2 Parare outside Canopy
Dataset ID: 424
Last updated: 2021-06-18
Ersteller: Marius Pohl
Sebastian Achilles
Maik Dobbermann
Andre Obregon
Kontakt: Marius Pohl
Maik Dobbermann
Zeitliche Abdeckung: 2008-06-22 00:00:04 - 2008-11-28 12:50:00
Geographische Verortung: Parare_MOB2
Abstract: ---
Zusätzliche Informationen: ---
Keywords: | climate station |
Urheberrecht: LCRS
1. Entity:
Entity name: MOB2 Parare outside Canopy
Entity type:dataTable
Attribute:
Date and Time (datetime) (keine Einheit)
Average air temperature (AirTC_Avg) [Degrees Celsius]
Minumum air temperature (AirTC_Min) [Degrees Celsius]
Maximum air temperature (AirTC_Max) [Degrees Celsius]
Standard deviation of the air temperature (AirTC_Std) [Degrees Celsius]
relative humidity 2m (RH_Avg) [Percent]
Minimum air relative humidity (RH_Min) [Percent]
Maximum air relative humidity (RH_Max) [Percent]
Relative humidity standard deviation (RH_Std) [Percent]
Solar radiation average (SlrW_Avg) [Watt per square meter]


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